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A Dynamic Time Warping Extension to Consensus Weight-Based Cachexia Criteria Improves Prediction of Cancer Patient
Noah Forrest1, Steven Tran1, Khizar R Nandoliya2
1Center for Health Information Partnerships Northwestern University Feinberg School of Medicine Chicago Illinois USA.
JCSM Communications
|March 28, 2025
Summary
This study developed a new method to track cancer cachexia progression over time, improving survival predictions compared to existing criteria. The new system identifies distinct progression patterns, aiding clinical decision-making.
Area of Science:
- Oncology
- Biostatistics
- Systems Biology
Background:
- Cachexia affects up to 50% of cancer patients, posing a significant clinical challenge.
- Current diagnostic criteria for cachexia lack systematic longitudinal assessment.
- Existing systems, like Fearon et al. (2011), primarily use body mass loss and BMI, limiting temporal analysis.
Purpose of the Study:
- To develop an extension to the 2011 consensus criteria for cancer cachexia.
- To categorize cancer patients based on temporal cachexia progression patterns.
- To assess the predictive capacity of this new system against current time-agnostic criteria.
Main Methods:
- Utilized electronic health record data from lung cancer and glioblastoma cohorts.
- Applied dynamic time warping (DTW) and unsupervised clustering to identify cachexia progression patterns.
- Assessed predictive capacity using Kaplan-Meier curves, Cox proportional hazards models, and IPCW.
Main Results:
- Identified three distinct cachexia progression patterns: 'smouldering', 'rapid with recovery', and 'persistent/recurrent'.
- Stratification by longitudinal patterns significantly improved survival prediction in both lung cancer and glioblastoma cohorts (p < 0.0001).
- The 'persistent/recurrent' pattern showed significantly higher hazard ratios for mortality in both cancer types.
Conclusions:
- Systematic assessment of longitudinal cachexia progression enhances prognostic capacity.
- The developed system offers improved predictive power over current consensus criteria.
- Findings support the development of advanced systems for recognizing and managing cachexia progression patterns in clinical practice.
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